{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "本项目旨在通过对英文文本数据进行分析，建立贝叶斯分类模型，来对垃圾邮件进行分类。\n",
    "\n",
    "- 文本数据探索性分析\n",
    "- 文本数据预处理\n",
    "- 建立贝叶斯分类模型\n",
    "- 评估分类模型的效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入常用的数据分析库\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  class                                            content\n",
       "0   ham  Go until jurong point, crazy.. Available only ...\n",
       "1   ham                      Ok lar... Joking wif u oni...\n",
       "2  spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3   ham  U dun say so early hor... U c already then say...\n",
       "4   ham  Nah I don't think he goes to usf, he lives aro..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#导入数据集\n",
    "df = pd.read_csv('D:\\\\Py_dataset\\\\SMSSpamCollection',sep = '\\t',names = ['class','content'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.对该数据集进行探索性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5572 entries, 0 to 5571\n",
      "Data columns (total 2 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   class    5572 non-null   object\n",
      " 1   content  5572 non-null   object\n",
      "dtypes: object(2)\n",
      "memory usage: 87.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5572</td>\n",
       "      <td>5572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>5169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>ham</td>\n",
       "      <td>Sorry, I'll call later</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>4825</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       class                 content\n",
       "count   5572                    5572\n",
       "unique     2                    5169\n",
       "top      ham  Sorry, I'll call later\n",
       "freq    4825                      30"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25052a39978>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看样本的分布\n",
    "\n",
    "df['class'].value_counts().plot(kind = 'bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上述结果可以看出，正常邮件的数量远多于垃圾邮件，也符合我们的工作生活中的常识。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pd.info()和pd.describe()方法可以很好的展示数值样本的分布特性，但不能很好的展示文本数据的分布特性。在此，我们绘制词云对文本数据进行展示。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#定义一个绘制词云的方法\n",
    "from wordcloud import WordCloud,STOPWORDS\n",
    "\n",
    "def get_wordcloud(text_data,title):\n",
    "  wordcloud = WordCloud(background_color='black',\n",
    "                        stopwords=set(STOPWORDS),\n",
    "                        max_font_size=40, \n",
    "                        relative_scaling=1.0,\n",
    "                        random_state=1\n",
    "  ).generate(str(text_data))\n",
    "\n",
    "  fig = plt.figure(1, figsize=(12, 12))\n",
    "  plt.axis('off')\n",
    "  plt.title(title)\n",
    "  plt.imshow(wordcloud)\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#将样本数据分为正常邮件和垃圾邮件\n",
    "ham_message = df[df['class'] == 'ham']['content']\n",
    "spam_message = df[df['class'] == 'spam']['content']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Go until jurong point, crazy.. Available only ...\n",
       "1                        Ok lar... Joking wif u oni...\n",
       "3    U dun say so early hor... U c already then say...\n",
       "4    Nah I don't think he goes to usf, he lives aro...\n",
       "6    Even my brother is not like to speak with me. ...\n",
       "Name: content, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ham_message[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制正常邮件的词云\n",
    "get_wordcloud(ham_message,'the Wordcloud of Ham Message')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上面的词云可以看出，正常邮件中Name,Say,Point,Going这些词出现的比较多。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制垃圾邮件的词云\n",
    "get_wordcloud(spam_message,'the Wordcloud of Spam Message')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出，垃圾邮件中Free,mobile,win,CASH,pounds,call这些词语出现的比较多。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>content</th>\n",
       "      <th>content_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  class                                            content  content_length\n",
       "0   ham  Go until jurong point, crazy.. Available only ...             111\n",
       "1   ham                      Ok lar... Joking wif u oni...              29\n",
       "2  spam  Free entry in 2 a wkly comp to win FA Cup fina...             155\n",
       "3   ham  U dun say so early hor... U c already then say...              49\n",
       "4   ham  Nah I don't think he goes to usf, he lives aro...              61"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#添加一个邮件内容长度的特征\n",
    "\n",
    "df['content_length'] = df['content'].apply(len)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "class\n",
       "ham     AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "spam    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "Name: content_length, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#观察垃圾邮件和正常邮件的长度分布\n",
    "\n",
    "df.groupby('class')['content_length'].plot(kind = 'hist',bins = 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x0000025054D90470>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x0000025054F06668>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(bins = 50,by = 'class',column = 'content_length')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "class\n",
       "ham      71.482487\n",
       "spam    138.670683\n",
       "Name: content_length, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('class')['content_length'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从词数上来看，垃圾邮件的长度要远大于正常邮件。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.文本数据预处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 大小写转换\n",
    "- 去停用词和标点符号\n",
    "- 构建文本数据向量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "stopwords = open('D:\\\\nlp_dataset\\\\stop_words.txt',encoding = 'utf-8').read().splitlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[\"\\ufeffain'\",\n",
       " 'happy',\n",
       " 'isn',\n",
       " 'ain',\n",
       " 'al',\n",
       " 'couldn',\n",
       " 'didn',\n",
       " 'doesn',\n",
       " 'hadn',\n",
       " 'hasn']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stopwords[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#大小转换\n",
    "df['content'] = df['content'].str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#构建文本处理函数，去掉停用词和标点符号\n",
    "\n",
    "\n",
    "def text_process(text):\n",
    "    cleaned_content = []\n",
    "    for line in text:\n",
    "    \n",
    "        #去掉标点符号\n",
    "        temp = [w for w in line if w not in string.punctuation]\n",
    "        temp = ''.join(temp)\n",
    "\n",
    "        #去停用词\n",
    "        cleaned_words = [w for w in temp.split() if w not in stopwords]\n",
    "        cleaned_words = ' '.join(cleaned_words)\n",
    "        cleaned_content.append(cleaned_words)\n",
    "    return(cleaned_content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#将文本数据分为特征和标签数据\n",
    "\n",
    "X = df['content']\n",
    "Y = df['class']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#将文本类容转化为list格式\n",
    "X = df['content'].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['go until jurong point, crazy.. available only in bugis n great world la e buffet... cine there got amore wat...',\n",
       " 'ok lar... joking wif u oni...',\n",
       " \"free entry in 2 a wkly comp to win fa cup final tkts 21st may 2005. text fa to 87121 to receive entry question(std txt rate)t&c's apply 08452810075over18's\",\n",
       " 'u dun say so early hor... u c already then say...',\n",
       " \"nah i don't think he goes to usf, he lives around here though\"]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_X = text_process(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['jurong crazy bugis la buffet cine amore wat',\n",
       " 'lar joking wif oni',\n",
       " 'free entry 2 wkly comp win fa cup final tkts 21st 2005 text fa 87121 receive entry questionstd txt ratetcs apply 08452810075over18s',\n",
       " 'dun hor',\n",
       " 'nah dont usf lives']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_X[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对标签进行映射\n",
    "\n",
    "class_map = {'ham':0,'spam':1}\n",
    "Y = Y.map(class_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#构建词袋模型，将特征数据转换为向量\n",
    "\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "\n",
    "cv = CountVectorizer()\n",
    "X_cv = cv.fit_transform(cleaned_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 8963)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#词向量矩阵的大小\n",
    "X_cv.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对训练集和测试集进行切分\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test = train_test_split(X_cv,Y,test_size = 0.3,random_state = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.建立朴素贝叶斯模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultinomialNB()"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.naive_bayes import MultinomialNB\n",
    "\n",
    "NB = MultinomialNB()\n",
    "NB.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对训练集进行预测\n",
    "\n",
    "pred = NB.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.评估模型效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.98      0.99      1451\n",
      "           1       0.89      0.95      0.92       221\n",
      "\n",
      "    accuracy                           0.98      1672\n",
      "   macro avg       0.94      0.97      0.95      1672\n",
      "weighted avg       0.98      0.98      0.98      1672\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report,confusion_matrix\n",
    "\n",
    "print(classification_report(y_test,pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1424   27]\n",
      " [  10  211]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(y_test,pred,labels = [0,1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上述结果可知，在使用默认参数的条件下，模型precision和recall均在90%以上。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.使用TF-IDF构造词向量，观察模型的效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "Tf = TfidfVectorizer()\n",
    "X_Tf = Tf.fit_transform(cleaned_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  (0, 5758)\t0.5680234078725725\n",
      "  (0, 8624)\t0.44852688817021014\n",
      "  (0, 4470)\t0.5441813263961918\n",
      "  (0, 4691)\t0.4243108797790347\n"
     ]
    }
   ],
   "source": [
    "#对于每一个词，计算一个tfidf值\n",
    "print(X_Tf[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对训练集和测试集进行切分\n",
    "\n",
    "X_train,X_test,y_train,y_test = train_test_split(X_cv,Y,test_size = 0.3,random_state = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#训练并预测\n",
    "tf_NB = MultinomialNB()\n",
    "tf_NB.fit(X_train,y_train)\n",
    "tf_pred = NB.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.98      0.99      1451\n",
      "           1       0.89      0.95      0.92       221\n",
      "\n",
      "    accuracy                           0.98      1672\n",
      "   macro avg       0.94      0.97      0.95      1672\n",
      "weighted avg       0.98      0.98      0.98      1672\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,tf_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在这个数据集中，使用CountVectorizer和TfidfVectorizer分别构造词向量，模型的计算结果基本上是相同的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  附加：逻辑回归、Xgboost、支持向量机"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 逻辑回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "LR = LogisticRegression()\n",
    "LR.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred = LR.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      1.00      0.99      1451\n",
      "           1       0.98      0.86      0.92       221\n",
      "\n",
      "    accuracy                           0.98      1672\n",
      "   macro avg       0.98      0.93      0.95      1672\n",
      "weighted avg       0.98      0.98      0.98      1672\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上述结果可以看出逻辑回归模型的效果也是非常不错的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Xgboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The time usage of xgboost 0.0666501522064209\n",
      "The accuracy of xgboost 0.40205128205128204\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "#导入xgboost\n",
    "import xgboost as xgb\n",
    "#将数据转换为xgboost的底层格式\n",
    "dtrain = xgb.DMatrix(X_train,y_train)\n",
    "dtest = xgb.DMatrix(X_test,y_test)\n",
    "#设置xgboost的参数\n",
    "params = {\n",
    "    'booster':'gbtree',     #  tree-based models\n",
    "    'objective': 'multi:softmax', \n",
    "    'num_class':2, \n",
    "    'eta': 0.1,             \n",
    "    'gamma':0,              \n",
    "    'alpha': 0,             \n",
    "    'lambda': 2,            \n",
    "    'max_depth': 3,         \n",
    "    'subsample': 1,         \n",
    "    'colsample_bytree': 1, \n",
    "    'min_child_weight': 1,\n",
    "    'nthread':1,      \n",
    "}\n",
    "num_round = 10\n",
    "\n",
    "start_time = time.time()\n",
    "bst = xgb.train(params,dtrain,num_round)\n",
    "end_time = time.time()\n",
    "print('The time usage of xgboost {}'.format(end_time - start_time))\n",
    "\n",
    "y_pred = bst.predict(dtest)\n",
    "accuracy = np.sum(y_pred == y_test)/len(y_train)\n",
    "print('The accuracy of xgboost {}'.format(accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.94      1.00      0.97      1451\n",
      "           1       0.96      0.55      0.70       221\n",
      "\n",
      "    accuracy                           0.94      1672\n",
      "   macro avg       0.95      0.77      0.83      1672\n",
      "weighted avg       0.94      0.94      0.93      1672\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上述结果可以看出，Xgboost在垃圾邮件中的recall值仅为0.55，说明会把45%的垃圾邮件识别为正常邮件，所以该模型的效果并不是很好。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 支持向量机"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "svc = SVC()\n",
    "svc.fit(X_train,y_train)\n",
    "pred = svc.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      1.00      0.99      1451\n",
      "           1       0.97      0.86      0.91       221\n",
      "\n",
      "    accuracy                           0.98      1672\n",
      "   macro avg       0.98      0.93      0.95      1672\n",
      "weighted avg       0.98      0.98      0.98      1672\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 3 folds for each of 60 candidates, totalling 180 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 8 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  25 tasks      | elapsed:    3.1s\n",
      "[Parallel(n_jobs=-1)]: Done 146 tasks      | elapsed:   10.3s\n",
      "[Parallel(n_jobs=-1)]: Done 180 out of 180 | elapsed:   12.6s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=3, estimator=SVC(), n_jobs=-1,\n",
       "             param_grid={'C': range(1, 5), 'gamma': [0.4, 0.6, 0.8, 1, 1.2],\n",
       "                         'kernel': ['linear', 'rbf', 'poly']},\n",
       "             verbose=2)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对svc进行参数优化\n",
    "\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = {'C':range(1,5),\n",
    "             'kernel':['linear','rbf','poly'],\n",
    "             'gamma':[0.4,0.6,0.8,1,1.2]}\n",
    "\n",
    "svc = SVC()\n",
    "\n",
    "grid = GridSearchCV(svc,param_grid,cv=3,verbose = 2,n_jobs = -1)\n",
    "grid.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.971025641025641"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'C': 1, 'gamma': 0.4, 'kernel': 'linear'}"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_model = grid.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred = best_model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      1.00      0.99      1451\n",
      "           1       0.99      0.88      0.93       221\n",
      "\n",
      "    accuracy                           0.98      1672\n",
      "   macro avg       0.99      0.94      0.96      1672\n",
      "weighted avg       0.98      0.98      0.98      1672\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "综合比较下来，MultinomialNB该垃圾邮件分类任务中的效果最好。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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